Francisco Gonzalez

[Francisco Gonzalez @xisco_24]

Vale la pena verlo de nuevo....y de nuevo... y de nuevoo...

[Joy.xls @joyibe_]

If you're just starting out, remember this:

The analysts who grow the fastest aren't the ones who know the most functions.

They're the ones who know how to think through problems.

Hope this helps!

[Francisco Gonzalez @xisco_24]

@ezekiel_aleke Amén

[Francisco Gonzalez @xisco_24]

@DuruOzii Data

[Francisco Gonzalez @xisco_24]

@NainsiDwiv50980 Book

[Nainsi Dwivedi @NainsiDwiv50980]

This Data Science Handbook teaches real-world DS better than most courses.

And I'm giving it away for free (Only for First 4500) 🚨

Inside:
• Advice from 25 top data scientists
• Real career paths (Uber, Airbnb, LinkedIn, Facebook)
• How to break into data science without a degree
• Building real data products (not just models)
• Data science + engineering mindset
• Industry workflows & decision-making
• From beginner → production-level thinking

This isn't theory — it's how top data scientists actually work.

How to get it:
• Follow me (must so I can DM)
• RT + Like
• Comment "book"

I'll DM you 📩

[Francisco Gonzalez @xisco_24]

@Johnsontaiwo_ Roadmap

[Johnson Taiwo 🇬🇧 @Johnsontaiwo_]

If you're a Data Analyst, Risk Analyst, or aspiring FinTech Analyst who wants to move from reporting dashboards to making financial decisions, read this:

Dashboards are not enough.
Modern financial institutions promote analysts who can:
• Quantify credit risk
• Detect fraud trade-offs
• Model expected loss
• Optimise portfolio returns
• Allocate capital responsibly
Most analysts learn tools.
Very few learn capital thinking.

So I built the FinTech Capital Intelligence Blueprint to move you from metric reporting to capital decision intelligence.

A system with two parts:
>> 1. Finance & FinTech Analytics Learning Framework
Learn how institutions actually operate:
• Financial system mechanics
• FinTech unit economics under risk
• Governance & regulatory thinking
• Capital allocation logic
• Executive financial communication

>>2. The 12-Week Practical FinTech Analytics Roadmap
Build 10 real-world projects:
• BNPL unit economics
• Payments revenue intelligence
• Credit risk modelling
• Fraud optimisation
• Portfolio stress testing
• Capital allocation simulation
• LTV & churn economics
• AML optimisation
• Credit limit strategy
• Revenue forecasting

This is not decorative analytics.
This is institutional-level financial thinking.
If you want the roadmap:

1️⃣ Like
2️⃣ Repost
3️⃣ Comment ROADMAP
4️⃣ ‼️Send me a DM, and I’ll share it.

[baba yaga @babayagatwt]

Master SQL

SQL MASTER TREE
│
├── 1. Database Fundamentals
│ ├── What is DB / DBMS / RDBMS
│ ├── Tables, Rows, Columns
│ ├── Primary Key
│ ├── Foreign Key
│ ├── Candidate Key
│ ├── Composite Key
│ ├── Constraints
│ │ ├── NOT NULL
│ │ ├── UNIQUE
│ │ ├── PRIMARY KEY
│ │ ├── FOREIGN KEY
│ │ ├── CHECK
│ │ └── DEFAULT
│ └── Data Integrity
│
├── 2. SQL Data Types
│ ├── Numeric
│ │ ├── INT
│ │ ├── BIGINT
│ │ ├── DECIMAL
│ │ └── FLOAT
│ ├── String
│ │ ├── CHAR
│ │ ├── VARCHAR
│ │ └── TEXT
│ ├── Date & Time
│ │ ├── DATE
│ │ ├── TIME
│ │ ├── DATETIME
│ │ └── TIMESTAMP
│ └── Boolean / Binary
│
├── 3. DDL (Data Definition Language)
│ ├── CREATE
│ │ ├── DATABASE
│ │ ├── TABLE
│ │ └── INDEX
│ ├── ALTER
│ │ ├── ADD COLUMN
│ │ ├── MODIFY COLUMN
│ │ └── DROP COLUMN
│ ├── DROP
│ │ ├── DATABASE
│ │ └── TABLE
│ └── TRUNCATE
│
├── 4. DML (Data Manipulation Language)
│ ├── INSERT
│ ├── UPDATE
│ ├── DELETE
│ └── MERGE / UPSERT
│
├── 5. DQL (Data Query Language)
│ ├── SELECT
│ ├── DISTINCT
│ ├── WHERE
│ │ ├── AND
│ │ ├── OR
│ │ └── NOT
│ ├── ORDER BY
│ ├── GROUP BY
│ ├── HAVING
│ └── LIMIT / OFFSET
│
├── 6. SQL Operators
│ ├── Arithmetic (+ - * /)
│ ├── Comparison (= != > < >= <=)
│ ├── Logical (AND OR NOT)
│ ├── BETWEEN
│ ├── IN
│ ├── LIKE
│ └── IS NULL
│
├── 7. SQL Functions
│ ├── Aggregate
│ │ ├── COUNT
│ │ ├── SUM
│ │ ├── AVG
│ │ ├── MIN
│ │ └── MAX
│ ├── String
│ │ ├── CONCAT
│ │ ├── SUBSTRING
│ │ ├── LENGTH
│ │ └── TRIM
│ ├── Numeric
│ │ ├── ROUND
│ │ └── ABS
│ └── Date
│ ├── NOW
│ ├── DATEADD
│ └── DATEDIFF
│
├── 8. Joins
│ ├── INNER JOIN
│ ├── LEFT JOIN
│ ├── RIGHT JOIN
│ ├── FULL JOIN
│ ├── CROSS JOIN
│ └── SELF JOIN
│
├── 9. Subqueries
│ ├── Scalar Subquery
│ ├── Correlated Subquery
│ └── Nested Subquery
│
├── 10. Views
│ ├── CREATE VIEW
│ ├── UPDATE VIEW
│ └── MATERIALIZED VIEW
│
├── 11. Indexing
│ ├── Clustered Index
│ ├── Non-Clustered Index
│ ├── Composite Index
│ └── Index Optimization
│
├── 12. Transactions
│ ├── BEGIN
│ ├── COMMIT
│ ├── ROLLBACK
│ └── SAVEPOINT
│
├── 13. ACID Properties
│ ├── Atomicity
│ ├── Consistency
│ ├── Isolation
│ └── Durability
│
├── 14. Normalization
│ ├── 1NF
│ ├── 2NF
│ ├── 3NF
│ ├── BCNF
│ └── Denormalization
│
├── 15. Advanced SQL
│ ├── Stored Procedures
│ ├── Triggers
│ ├── CTE (WITH)
│ ├── Window Functions
│ │ ├── ROW_NUMBER
│ │ ├── RANK
│ │ ├── DENSE_RANK
│ │ └── PARTITION BY
│ └── Recursive Queries
│
├── 16. Performance Optimization
│ ├── Query Optimization
│ ├── Execution Plan
│ ├── Index Tuning
│ └── Query Caching
│
├── 17. SQL Ecosystem
│ ├── MySQL
│ ├── PostgreSQL
│ ├── SQLite
│ ├── SQL Server
│ └── Oracle DB
│
└── 18. Real-World Usage
├── Backend APIs
├── Data Analytics
├── Reporting Systems
├── ETL Pipelines
└── Data Warehousing

[Annie🦋 @DabereNnamani]

https://t.co/dOhTNu3RiX

[Ethan Evans @EthanEvansVP]

The world runs on unpaid overtime. Many people will say, "It shouldn't be this way." I agree. But I write in terms of most current reality, not some utopia of an ideal future.

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

🎲 Estadística: la ciencia de cambiar de opinión con datos. 📊
Vivimos en un océano de datos, y no todos son fiables ni claros. La estadística no nos promete certezas absolutas, sino mejorar nuestra comprensión y guiarnos en la incertidumbre.

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

🔍¿Tienes una base de datos y no sabes por dónde empezar a analizarla?
Te dejo una checklist pre-análisis: una guía paso a paso para revisar, limpiar y preparar tus datos antes del análisis
🧠Recuerda: antes de graficar o modelar... hay que inspeccionar, transformar y comprender.

[Antelm Pujol, MD PhD @AntelmPujol]

🚩Cada 90 minutos/semana de entrenamiento de fuerza hace que el ADN de tus células sea 4 años más joven.

📌El entrenamiento de fuerza es el mejor anti-envejecimiento que existe.

[Francisco Gonzalez @xisco_24]

@ibn_wittig I'm interested. This is my email [email protected]

[The Data Immersed @TDataImmersed]

For the last time this year, we are making that call.

A call to anyone who has been waiting for the right moment to step into the world of data analytics and data science. And a call to those who’ve been watching from the sidelines, curious but unsure if they should dive in.

This is your sign.

Registration is opening for the FIRST COHORT of Next Year with TDI. This is your chance to learn the skills that matter, connect with a community of like-minded learners, and start building a future in one of the fastest-growing fields.

New Year's resolution came early. Make that decision now!

Deadline is 31st December.

Register using: https://t.co/4NsQm8EkXV

[Francisco Gonzalez @xisco_24]

@ibn_wittig @LearnwithWiDa I would like to be part

[Francisco Gonzalez @xisco_24]

@DabereNnamani Yessss

[Francisco Gonzalez @xisco_24]

@DabereNnamani Amazing

[endocrinorosero @endocrinorosero]

👉La hora ideal para dormir son las 9:30 pm.😴

La hora máxima de irse a dormir son las 11:00 pm.⛔️

Las horas ideales de sueño son 7.✅

😳Dormir menos de 7 horas se asocia con un mayor riesgo de obesidad, diabetes, hipertensión, enfermedades coronarias, accidentes cerebrovasculares y mortalidad general.

Ref.
Chaput JP, Dutil C, Featherstone R, et al. Sleep duration and health in adults: an overview of systematic reviews. Appl Physiol Nutr Metab. 2020;45(10 (Suppl. 2)):S218-S231.

Yang L, Xi B, Zhao M, Magnussen CG. Association of sleep duration with all-cause and disease-specific mortality in US adults. J Epidemiol Community Health. Published online January 13, 2021.

Miller MA. Time for bed: diet, sleep and obesity in children and adults. Proc Nutr Soc. Published online November 28, 2023.

[Francisco Gonzalez @xisco_24]

@ibn_wittig I want my first Data Analyst job